{"has_next":true,"jobs":[{"id":"73600478-6692-47ce-be77-2aebfb5bb4a2","company_id":"82d2abc2-444c-4d89-9646-4739e72d700d","title":"Machine Learning Engineer","slug":"machine-learning-engineer-5aefaff6","description":"About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, Amazon, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company .\n About the team/role \n We’re hiring an ML Engineer (P2) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data \u0026 ML organization within Engineering.\n Checkr runs millions of background checks a year. The ML team builds the systems that make those checks faster, more accurate, and cheaper to operate: document processing, charge classification, entity resolution, and in-product intelligence. These are production services that Product Engineering depends on daily.\n This is not a research role or a notebook role. You’ll own ML services end-to-end: design them, code them, deploy them, monitor them. We need someone who writes production software, builds with LLMs and APIs as first-class tools, and can tell the difference between working code and AI slop. If you’ve spent the last few years building AI-native software and you care deeply about engineering craft, we want to talk.\n This role sits in the central Data \u0026 ML team within the Engineering organization. You will partner daily with Product Engineering, Product, and cross-functional teams. You’ll also contribute to Checkr’s broader AI strategy, including our initiative to deploy our agentic fleet and build scalable context with our semantic layer.\n We are looking for someone based in San Francisco who has built ML systems in fast-moving, impact-first environments. Less process, more shipping. Less paperwork, more results.\n  \n What you’ll do \n \n Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services.\n Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together.\n Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.\n Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.\n Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect.\n Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first.\n \n What you bring \n \n A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience\n 4+ years building software professionally, with at least 2 of those building ML systems that run in production\n Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Not scripts; software\n Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation\n You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on\n Comfortable with distributed systems concepts: queues, async processing, caching, horizontal scaling\n Experience with NLP tasks in production: classification, extraction, entity resolution, summarization\n Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal\n You can evaluate tradeoffs: fine-tune vs. prompt, hosted vs. self-deployed, classical ML vs. LLM, rule vs. model\n Strong communication skills; you explain technical decisions clearly to engineers and non-engineers alike, without hiding behind jargon\n You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it\n An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and t","salary_min":168000,"salary_max":198000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["nlp","code-generation","mlops","agents","payments","legal","distributed-systems","llm"],"apply_url":"https://job-boards.greenhouse.io/checkr/jobs/7966920","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T15:17:56Z","expires_at":"2026-06-29T14:10:31.076983Z","created_at":"2026-05-30T14:10:31.19215Z","updated_at":"2026-05-30T14:10:31.19215Z","company_name":"Checkr","company_slug":"checkr","company_logo_url":"https://www.google.com/s2/favicons?domain=checkr.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/73600478-6692-47ce-be77-2aebfb5bb4a2"},{"id":"9007f08c-f9f3-4610-9d1f-03eba5fbe52f","company_id":"ed18bbda-3537-4b44-9295-c7b575fce0ff","title":"Staff Product Manager - Enterprise AI","slug":"staff-product-manager-enterprise-ai-307a46d6","description":"Who we are  \n At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to  hundreds of thousands of businesses  and empower millions of developers worldwide to craft personalized customer experiences.\n Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!\n . \n See yourself at Twilio. \n Join us as our next Staff Product Manager - Enterprise AI on Twilio's Enterprise AI team.\n About the job \n Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM corporate functions (Finance, HR, Legal, etc.) Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation. \n As Staff Product Manager for Enterprise AI, you will lead the product strategy and execution for AI-powered solutions across both GTM and Corporate Functions. You'll build intelligent agents, automation workflows, and operational tools that transform how Twilio works across Sales, Support, Operations, Finance, Legal, and HR - from sales productivity and customer support efficiency to financial operations, legal contract management, and HR processes.\n You will be responsible for understanding the unique workflows, pain points, and opportunities across these diverse business functions, then designing and delivering AI-powered products that drive measurable business impact. This includes everything from AI assistants that help sales teams close deals faster, to support agents that deflect cases and accelerate resolution, to compliance tools that automate manual investigations, to financial automation that streamlines invoice processing, to legal tools that accelerate contract review, and HR agents that streamline recruiting and onboarding.\n You'll work closely with GTM and Corporate Function leaders, operations teams, engineering, data science, and AI/ML teams to deliver a cohesive product vision that scales across multiple use cases while leveraging our unified Enterprise AI platform.\n Responsibilities \n As a Staff Product Manager, you will:\n Product Strategy \u0026 Roadmap \n \n Define and execute the product roadmap for Enterprise AI spanning GTM functions (Sales, Support, Operations) and Corporate Functions (Finance, Legal, HR). Establish clear priorities, milestones, and success metrics that align with business objectives and drive measurable improvements.\n Lead cross-functional product development across multiple business domains, balancing the needs of diverse stakeholders within a unified platform strategy.\n \n GTM AI Capabilities \n \n Build AI-powered solutions across Sales, Support, and Operations functions that drive measurable GTM improvements. This includes sales productivity tools (intelligent account insights, opportunity management, propensity-to-buy signals, automated CRM workflows), support automation (case deflection, intelligent triage, agent assistance, knowledge retrieval), and compliance/risk operations (automated user vetting, fraud detection, compliance investigation dashboards, workflow orchestration for onboarding and audits).\n \n Corporate Functions AI Capabilities \n \n Build AI-powered solutions across Finance, Legal, and HR functions that transform operational efficiency. This includes financial automation (invoice/billing processing, expense management, automated reconciliation, forecasting and analytics), legal operations (contract review and generation, clause extraction, compliance tracking, risk assessment tools), and HR productivity (recruiting automation, candidate screening, onboarding workflows, employee self-service, benefits administration).\n \n Platform Integration \u0026 Execution \n \n Leverage the Enterprise AI platform to build agentic solutions using multi-agent architecture, knowledge retrieval, workflow automation, and LLM-powered reasoning tailored to each business function.\n Integrate with enterprise systems including Salesforce, Zendesk, Workday, NetSuite, DocuSign, compliance platforms (Sift, etc.), contract management platforms, HRIS systems, and internal Twilio tools to deliver seamless, embedded AI exper","salary_min":182960,"salary_max":228700,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["healthcare","legal","llm","fine-tuning","agents","rag","payments"],"apply_url":"https://job-boards.greenhouse.io/twilio/jobs/7918885","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-13T17:20:19Z","expires_at":"2026-06-29T14:09:10.814303Z","created_at":"2026-05-14T14:10:17.03293Z","updated_at":"2026-05-30T14:09:10.936185Z","company_name":"Twilio","company_slug":"twilio","company_logo_url":"https://www.google.com/s2/favicons?domain=twilio.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9007f08c-f9f3-4610-9d1f-03eba5fbe52f"},{"id":"276ced2d-5bb0-441c-9c07-2ceec88cfd52","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior Data Analyst","slug":"senior-data-analyst-0f7b59dd","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\nEMPLOYER: HARVEY AI CORPORATION\n\n\n\nTITLE: Senior Data Scientist\n\nLocation: 201 3rd Street, Suite 500, San Francisco, CA 94103; Must be in the office 3 days per week and 2 days at home.\n\nSalary Range: 40 hours/week; $145,000 - $210,000/year\n\n\n\nJob Description: Establishing scalable data foundations by designing and implementing robust data models, pipelines, and processes to support product and company-wide analytics at Harvey. Partnering with Product, Exec Team, GTM, \u0026 Finance to create and maintain standard dashboards that measure business health. Collaborating with cross-functional teams to understand their business needs and lead end-to-end analysis workflows that include data discovery and extraction (via SQL or APIs), analysis, ongoing scaled deliverables, and presentations. Delivering effective presentations of findings and recommendations to multiple levels of stakeholders. Collaborating closely with engineering to jointly lead data architecture decisions, co-design data schemas, and implement orchestration strategies that optimize pipeline reliability and data warehouse performance. Analyzing and synthesizing competitive dynamics and customer insights to uncover strategic growth opportunities, driving experimentation and continuous optimization across the business opportunities to improve our business. Must be in the office 3 days per week and 2 days at home.\n\n\n\nRequirements: Bachelor’s degree or foreign degree equivalent in Applied Math or Data Science, or related field and three (3) years of experience in the related role or job offered.\n\n\n\nExperience and/or education must include:\n\n 1. Conducting data science and analytics work in legal technology, legal industry, or litigation consulting context\n\n 2. Analyzing AI/LLM product performance with knowledge of retrieval-augmented generation (RAG), agentic workflows, prompt engineering, and model benchmark \u0026 evaluations\n\n 3. Working closely with product, engineering, and design teams to define product metrics, diagnose metrics issues, and provide actionable business insights and decision support\n\n 4. Utilizing SQL for complex data analysis including CTEs, window functions, JSON array operations, and query optimization techniques\n\n 5. Building and maintaining data pipelines and transformation workflows using frameworks such as dbt or similar data engineering tools\n\n 6. Building and maintaining analytics dashboards and data visualizations using tools such as Looker, Omni, and/or Streamlit\n\n 7. Utilizing Python for data manipulation, regression, and machine learning analysis\n\n 8. Designing and analyzing A/B tests and multivariate experiments to measure impact of product features on site performance.\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":145000,"salary_max":210000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["llm","agents","legal","rag","data-pipeline"],"apply_url":"https://jobs.ashbyhq.com/harvey/01741ba7-13a6-42a2-bbe1-6d93fcc7d380/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-06T15:27:26.888Z","expires_at":"2026-06-29T14:02:10.379199Z","created_at":"2026-05-07T14:02:07.118172Z","updated_at":"2026-05-30T14:02:10.498229Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/276ced2d-5bb0-441c-9c07-2ceec88cfd52"},{"id":"f1ed80b4-ae94-4330-9c64-c4ad1126b75f","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Engineering Director, New Verticals ","slug":"engineering-director-b9fcea5c","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nHarvey is building a New Verticals Engineering program to deliver a white-glove, tailored experience for our most strategically important accounts. As Director of Engineering, New Verticals, you will own that program end-to-end: building the team, defining the operating model, and ensuring Harvey's top accounts feel like Harvey works exclusively for them.\n\n\n\nThis is a rare opportunity to sit at the intersection of engineering leadership, enterprise client strategy, and product influence. You'll lead a team of software engineers working directly with clients, while partnering closely with legal engineering, Sales, CS, and Product to shape what gets built and for whom.\n\n\n\nThis is not a product function. The job’s primary goal is to make Harvey's most valuable customers wildly successful, while also influencing the product roadmap with direct customer feedback.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\nTeam Leadership\n\n - Build, hire, and manage a team of software engineers and managers deployed into strategic accounts\n\n - Define staffing models, engagement structures, and capacity allocation across active and prospective accounts\n\n - Develop specialist pods of engineers for new verticals (M\u0026A, litigation, fund formation, compliance, etc.) that can be drawn on across engagements.\n\n - Set and uphold quality standards for client deliverables, documentation, and knowledge transfer.\n\nTechnical Execution\n\n - Maintain deep technical fluency to scope custom builds accurately, unblock engineering decisions, and evaluate quality of delivered solutions\n\n - Oversee the design and implementation of tailored workflows, retrieval systems, agent tools, and knowledge sources built on Harvey's platform\n\n - Ensure solutions are built to be operationalized: with evaluations, documentation, and user training.\n\nProduct Influence\n\n - Identify patterns across client engagements that signal gaps or opportunities in Harvey's core platform\n\n - Bring field signal to product and engineering leadership with specificity: what clients need, how often, and what it would take to generalize\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 10+ years of experience in software engineering, with at least 5+ years leading engineering teams (bonus if in customer-facing contexts)\n\n - Deep familiarity with LLM application development: retrieval-augmented generation, agent architectures, structured outputs, and evaluation design\n\n - Experience building and scaling technical teams: hiring, developing, and retaining engineers across specializations\n\n - Exceptional communication skills; able to translate complex technical work into clear language for both engineers and C-suite clients\n\n - Low ego, high accountability; you're as comfortable rolling up your sleeves on a client problem as you are presenting to the board\n\n\n\n\nNICE TO HAVE\n\n - Prior experience building products for these legal, asset management, banking, or insurance.\n\n - Familiarity with enterprise legal workflows: document review, contract analysis, compliance, M\u0026A diligence\n\n\n\n\n\n\n\nWHY THIS ROLE\n\nHarvey's most strategic accounts — the firms and in-house teams that set the standard for the rest of the industry — deserve more than a great product. They deserve a team that shows up for them. As Director of Forward Deployed Engineering, you'll build that team, define what excellence looks like, and make Harvey indispensable to the companies that matter most.\n\n\n\n\nCOMPENSATION\n\n$320,000 - $360,000 USD\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-PM1\n\n\n\nHarvey is an equal opportunity employ","salary_min":320000,"salary_max":360000,"location":"New York, NY","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["llm","rag","agents","legal"],"apply_url":"https://jobs.ashbyhq.com/harvey/af9faa0f-4b5e-4cc5-937f-734bfc1c08df/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-06T03:25:11.809Z","expires_at":"2026-06-29T14:02:07.964157Z","created_at":"2026-04-13T09:37:55.868912Z","updated_at":"2026-05-30T14:02:08.07471Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f1ed80b4-ae94-4330-9c64-c4ad1126b75f"},{"id":"711ab864-6ce0-4544-8506-4400ddaa7dd6","company_id":"a0000000-0000-0000-0000-000000000001","title":"Senior Software Engineer, Full-stack","slug":"software-engineer-full-stack-6da2683a","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n \n About the role\n \n Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. \n \n \n What you'll do:\n Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.\n Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.\n Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:\n \n Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.\n Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.\n Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from \"Claude answers when asked\" to \"Claude notices what you need\".\n \n Vertical AI Products :   Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:\n \n Financial Services — analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review.\n Healthcare — clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product — and where compliance is part of the engineering.\n Legal — contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong.\n \n Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns \"we love the demo\" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what","salary_min":320000,"salary_max":320000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["llm","legal","agents","healthcare","fullstack"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5174743008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-08T18:58:35Z","expires_at":"2026-06-29T14:00:24.17659Z","created_at":"2026-04-13T09:36:05.01173Z","updated_at":"2026-05-30T14:00:24.288293Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/711ab864-6ce0-4544-8506-4400ddaa7dd6"},{"id":"319ff262-8917-4516-9729-c705ff1aca20","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Software Engineer, Full-stack","slug":"staff-software-engineer-full-stack-00fad4f5","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n \n About the role\n \n Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. \n \n \n What you'll do:\n Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.\n Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.\n Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:\n \n Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.\n Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.\n Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from \"Claude answers when asked\" to \"Claude notices what you need\".\n \n Vertical AI Products :   Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:\n \n Financial Services — analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review.\n Healthcare — clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product — and where compliance is part of the engineering.\n Legal — contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong.\n \n Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns \"we love the demo\" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["healthcare","agents","llm","legal","fullstack"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5174747008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-08T18:57:51Z","expires_at":"2026-06-29T14:00:27.148683Z","created_at":"2026-04-13T09:36:06.892023Z","updated_at":"2026-05-30T14:00:27.257509Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/319ff262-8917-4516-9729-c705ff1aca20"},{"id":"3cf56333-0dab-4c46-989e-60b5efd4b79b","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"Enterprise Architect, Finance \u0026 Legal Systems","slug":"enterprise-architect-finance-legal-systems-6ec5019d","description":"Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n Technology, Data and Intelligence (TDI) Team \n The Technology, Data and Intelligence team is on a mission to accelerate Okta’s scale and growth. We bring world-class business acumen and technology expertise to every interaction. We also drive cross-functional collaboration and are focused on delivering measurable business outcomes.  \n The Opportunity \n The Architect, Finance and Legal Technologies will define and deliver the technology architecture strategy across Finance and Legal functions, enabling data-driven decision-making, automation, and operational excellence. This role will combine deep technical expertise with innovative thinking to modernize and optimize core enterprise systems — including NetSuite or Oracle (ERP) , Conga , Anaplan , and Xactly . The successful candidate will leverage AI, machine learning (ML) , NLP , and intelligent automation to reimagine traditional financial and legal processes/systems, enabling predictive insights, streamlined operations, and smarter compliance.\n What you’ll be doing  \n Enterprise Solution Architecture: \n \n Define the target-state architecture for Finance and Legal applications, ensuring alignment with enterprise strategy and growth objectives.\n Lead the design and implementation of end-to-end architectural solutions for Finance and Legal systems, ensuring integration, scalability, and performance across the enterprise.\n Develop and maintain a multi-year roadmap for modernization across ERP, FP\u0026A, Legal, and Sales Compensation systems.\n Ensure systems are designed with identity-first security principles, integrating with Okta and other IAM solutions for authentication, authorization, and compliance.\n \n AI and ML Solution Design: \n \n Architect and implement AI/ML-driven solutions to optimize finance and legal processes — such as predictive forecasting, anomaly detection, spend optimization, contract risk scoring, and intelligent reconciliation.\n Partner with Enterprise AI team to operationalize AI/ML Solution/ models within G\u0026A functions, ensuring alignment with business outcomes.\n Have the working knowledge with any of the LLM like Gemini, OpenAI or Claude\n \n System Integration and Data Strategy: \n \n Ensure seamless data flow across ERP (NetSuite/Oracle), Coupa, Scout, Anaplan, Conga, and Xactly systems using APIs and middleware (Boomi). Define unified data models to support analytics and AI consumption.\n \n Innovation Leadership: \n \n Identify opportunities to embed generative AI, natural language processing (NLP), and large language model (LLM) capabilities into core Finance and Legal processes , including financial reporting, close management, reconciliation, contract lifecycle management, and legal document automation.\n Functional and Technical Design, and lead hands-on proof of concepts (POCs) and AI-driven automations to reduce manual efforts \n Lead from the front piloting, prototyping and demoing the  innovative solutions and newer technologies such as AI and automation\n \n Stakeholder Engagement and Cross-Functional Collaboration: \n \n Collaborate closely with Finance, Legal, IT, Data, Compliance, Security, and Engineering teams to translate business objectives into scalable, secure, and innovative technology solutions aligned with organizational goals\n \n \n Partner closely with Finance, Legal, Compliance, Security, and Engineering leaders to define technology roadmaps aligned with Okta business priorities.\n Translate complex SaaS financial and legal requirements (e.g., revenue recognition, contract risk management, GDPR) into technical solutions.\n Serve as a trusted advisor to leadership on Finance and Legal technology trends such as Subscription/usage-based billing, AI contract analytics, and compliance automation.\n Effectively influence executives and decision-makers on solution architecture, system strategy, and adoption of innovative technologies to drive operational excellence and transformation \n \n Implementation \u0026 Governance \n \n Support/Lead implementations/enhancement of ERP systems (Oracle, NetSuite, Coupa, Scout, Anaplan) and legal tools (Conga, DocuSign)\n Establish and champion governance frameworks for data privacy, SOX compliance, and access control across Finance and Legal systems.\n Support roll out of Data Governance across the organization by collaborating with the Data Governance, Businesses and the Data warehousing teams\n \n What you’ll bring to the role \n      Education: \n \n Bachelor’s or Master’s deg","salary_min":222400,"salary_max":308000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["cloud","payments","agents","llm","legal","generative-ai","data-pipeline","nlp"],"apply_url":"https://www.okta.com/company/careers/opportunity/7442186?gh_jid=7442186","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-12-05T18:35:11Z","expires_at":"2026-06-29T14:08:59.766772Z","created_at":"2026-04-13T12:08:42.445798Z","updated_at":"2026-05-30T14:08:59.877034Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3cf56333-0dab-4c46-989e-60b5efd4b79b"},{"id":"acc7e084-c12e-470c-a730-9ef3a8365961","company_id":"5e8ce7e7-73f0-4ce5-a0c3-7581a059aef6","title":"Lead AI Engineer","slug":"ai-engineer-af8607c8","description":"About Eudia: \n  \n Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver. \n  \n At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. \n  \n We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you. \n  \n About the Role: \n  \n We are looking to hire a solutions-minded, AI-focused engineer to join our growing team in Palo Alto. In this role, the candidate will seize a unique opportunity to work with data from Fortune 500 companies' legal and risk departments, developing the most secure, enterprise-grade software using the latest in Generative AI. The opportunity to tackle challenges in creating cloud-agnostic solutions, maintaining stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search also exist while you will be able to routinely innovate on behalf of our customers, collaborating with the world's top legal and risk experts, as well as preeminent business, technology, AI professionals, and engineers.\n  \n Key Responsibilities: \n \n \n Work closely with customers to understand and address their AI/ML challenges, designing and deploying custom solutions that leverage company technologies. \n Act as the primary technical contact, providing hands-on support during deployment and ensuring successful integration.\n Collaborate with product management and engineering to convey customer feedback, influencing AI/ML product roadmaps. \n Lead the deployment of AI/ML solutions, ensuring smooth integration and ongoing optimization.\n Provide technical training to clients, identify challenges in AI/ML deployments, and proactively improve model performance.\n Maintain clear communication with all stakeholders, providing regular updates on progress and outcomes.\n \n  \n Qualifications: \n \n \n Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.\n 2-5 years of experience in AI/ML engineering, data science, or a similar role, with a strong background in deploying and integrating AI/ML solutions in real-world environments.\n Proficiency in LLMs, RAGs, evaluation techniques, and machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python. \n Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML services is essential.\n Strong problem-solving skills in diagnosing and resolving AI/ML model issues, including model drift, data quality challenges, and performance optimization.\n Experience in client-facing roles, with excellent communication and interpersonal skills, and the ability to build strong relationships with customers while guiding them through the AI/ML deployment process.\n Familiarity with MLOps practices and tools (e.g., MLflow) and experience in model deployment, monitoring, and continuous integration/continuous deployment (CI/CD) of AI/ML solutions.\n A passion for AI/ML technologies and a desire to work on innovative solutions that drive significant impact for customers.\n \n  \n Preferred Qualifications: \n \n \n Familiarity with applying artificial intelligence and machine learning techniques in customer deployments, particularly in areas such as data analysis, predictive modeling, or automation.\n A background in deploying and supporting software solutions within legal technology or complex enterprise environments, with an understanding of industry-specific challenges and requirements.\n \n  \n Why You’ll Love Working Here: \n \n \n Impactful Work: Be part of a team that’s at the forefront of AI innovation.\n Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas.\n Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference.\n \n If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you! \n --\n Compensation Range: $130,000 - $220,000 \n The posted salary range is based on our research for companies of our stage and size while in compliance with California law.","salary_min":130000,"salary_max":220000,"location":"Palo Alto, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["mlops","pytorch","llm","generative-ai","legal","tensorflow","fine-tuning"],"apply_url":"https://job-boards.greenhouse.io/eudia/jobs/4019475009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-09-05T00:35:16Z","expires_at":"2026-06-29T14:17:54.501135Z","created_at":"2026-04-17T02:26:42.663339Z","updated_at":"2026-05-30T14:17:54.621783Z","company_name":"Eudia","company_slug":"eudia","company_logo_url":"https://www.google.com/s2/favicons?domain=eudia.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/acc7e084-c12e-470c-a730-9ef3a8365961"},{"id":"6f495d92-9b2c-45e0-97ca-d7520d5f878e","company_id":"c587b06c-b6f0-4d1d-b694-6fb6abc2a6bb","title":"Director of Legal Operations","slug":"director-of-legal-operations-77894029","description":"Who We Are \n Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\n Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\n We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\n  \n What We're Looking For\n  \n We are looking for a Director of Legal Operations to serve as the operational backbone of Lightning AI’s Legal team. This is a senior, highly cross-functional role for a self-directed operator who thrives on building structure, driving outcomes, and solving hard problems without waiting to be told how. You will own the systems, tools, and processes that enable our legal function to scale alongside one of the fastest-growing companies in AI infrastructure—and you will serve as a true strategic partner to the VP of Legal and the broader organization. You will join the Legal Team and report directly to the VP of Legal, serving as the department’s operational lead.\n This is a hybrid role based in our New York City or San Francisco office with in-office requirements of 2 days per week. \n  \n What You’ll Do\n \n Own and drive the Legal team’s operational strategy, including setting quarterly priorities and targets, tracking progress against department goals, and delivering clear reporting to the VP of Legal and executive leadership.\n Establish and maintain metrics, dashboards, and reporting frameworks that give the Legal team and its stakeholders real-time visibility into workload, performance, and outcomes.\n Prepare high-quality executive materials, including board and leadership presentations, department reviews, and briefing documents on behalf of the Legal team.\n Evaluate, implement, and administer legal technology, including Contract Lifecycle Management (CLM), regulatory and KYC tooling, ensuring strong adoption, ongoing optimization, and integration with enterprise systems.\n Redesign and continuously improve legal processes, building scalable workflows, playbooks, and templates that allow the Legal team to handle growing demand without proportional headcount growth.\n Partner with Finance on corporate entity management and tax matters, ensuring accurate records and timely coordination on multi-entity legal and financial obligations.\n Work with the People team to administer cap table management, equity plan operations, and related employee equity matters in coordination with outside counsel and Finance.\n Coordinate with the Infrastructure team on hardware and software inventory management, ensuring the Legal team maintains accurate, up-to-date records for compliance and audit purposes.\n Partner with the Engineering team on IP portfolio tracking and open-source licensing management, including maintaining license registers, advising on use policy, and flagging compliance risks.\n Lead cross-functional legal operational initiatives end-to-end, from scoping and stakeholder alignment through execution and measurement, with minimal supervision.\n \n  \n What You’ll Need\n \n 10+ years of legal operations experience, either in-house at a technology company or at a law firm in a legal operations or practice management capacity.\n Prior startup or high-growth company experience is required; you must have operated in environments where resources are constrained and speed matters.\n Hands-on experience implementing and managing legal technology platforms, including CLM systems and KYC tooling; familiarity with the broader legal tech landscape (e-billing, matter management, workflow automation) is a strong plus.\n Demonstrated familiarity with core legal operational matters, including corporate entity management, cap table administration, IP and open-source licensing, and vendor and outside counsel management.\n Proven ability to build and maintain metrics, dashboards, and reporting frameworks; comfort working with data and presenting operational insights to senior leadership.\n Strong project management and cross-functional collaboration skills; you are comfortable leading initiatives that span Finance, People, Engineering, and Infrastructure simultaneously.\n Exceptional discretion, judgment, and accountability; this role handles highly sensitive information and requires someone who inspires trust across the organization.\n A proactive, ownership-oriented mindset: you identify what needs to be done and do it. You do not wait to be managed, and you measure your success by outcomes, not activity.\n We are committed to offering comp","salary_min":180000,"salary_max":220000,"location":"New York, NY","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["payments","legal","pytorch"],"apply_url":"https://job-boards.greenhouse.io/lightningai/jobs/7738986003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-21T20:09:49Z","expires_at":"2026-06-29T14:03:02.651347Z","created_at":"2026-05-27T14:03:14.703031Z","updated_at":"2026-05-30T14:03:02.757054Z","company_name":"Lightning AI","company_slug":"lightning-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=lightning.ai\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/6f495d92-9b2c-45e0-97ca-d7520d5f878e"},{"id":"2fa9596d-0b38-43e8-9d58-44680a818155","company_id":"d90e5b83-7941-4bd8-aace-5327c84c09c6","title":"Commercial Legal","slug":"commercial-legal-6311f6b0","description":"Founding commercial attorney — fal Legal \n About fal \n fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.\n As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.\n About the Role \n We are hiring our first dedicated commercial attorney. You will join as the second lawyer on the team and own the commercial legal function end-to-end. Your work will directly shape how fal sells, partners, builds infrastructure, and scales globally.\n Day-to-day, you will lead the negotiation of our most important customer, partner, and supplier agreements, design the templates, playbooks, and processes that let the business move at speed, and serve as the trusted advisor to the go-to-market (GTM) team. This is a ground-floor role with significant ownership and a clear path to expanded scope as the team grows.\n The legal function should be a competitive advantage — not a bottleneck — and that’s where you come in.\n What You’ll Do \n \n Draft, review, and negotiate the full range of commercial agreements that power fal’s business — enterprise customer contracts, SaaS and API licensing, data center and capacity arrangements, hyperscaler and infrastructure partnerships, model and content licensing, reseller and channel agreements, marketing partnerships, NDAs, and procurement contracts.\n Own enterprise deal cycles end-to-end and partner with the GTM team to close revenue, while ensuring fal’s legal risk is appropriately managed across the contract portfolio.\n Build and own the commercial legal infrastructure: templates, playbooks, AI tools, and a contract management solution that scales with the company.\n Monitor regulatory and policy developments most relevant to fal — AI regulation, data protection, export controls, and cross-border data transfer — and translate them into practical guidance and contract positions.\n Manage outside commercial counsel and legal service providers, including budget and performance tracking, so we get leverage where we need it and keep costs disciplined.\n Be a “Generalized Specialist”: as the second lawyer on a lean team, pitch in with precision on whatever the company needs, including matters outside your immediate specialty, while learning new skills to support the team’s mission.\n \n What You Bring \n \n J.D. from an accredited law school and active membership in good standing of at least one U.S. state bar (California or New York preferred; registered in-house status acceptable).\n 8+ years of relevant legal experience, ideally combining a top-tier law firm foundation with in-house experience at a technology, cloud infrastructure, SaaS, or AI company.\n Proven track record drafting and negotiating complex commercial and technology transactions on both the buy-side and the sell-side, including enterprise customer agreements, infrastructure or supply agreements, and IP licensing.\n Strong working knowledge of enterprise software licensing, SaaS, intellectual property, data protection and privacy (including cross-border transfer), and the security and compliance frameworks customers care about (e.g., SOC 2, ISO 27001).\n Substantive privacy experience advising on GDPR, CCPA, and U.S. state privacy laws; CIPP/US or CIPP/E certification a plus.\n Excellent legal and business judgment — you can explain complex issues clearly to non-lawyers, take a position under uncertainty, and find practical paths forward in ambiguous situations.\n Genuine curiosity about AI, infrastructure, and the fal products and services, not just papering the deal.\n A doer’s instinct: highly responsive, accountable, comfortable juggling multiple high-priority deals on tight timelines, and willing to roll up your sleeves on whatever the moment requires.\n Excellent verbal and written communication and cross-functional collaboration skills.\n \n Nice to Have \n \n Experience inside an infrastructure-as-a-service, cloud, or AI/ML company, particularly with GPU capacity, data center, or hyperscaler agreements.\n Experience with hardware supply chain, manufacturing, or procurement transactions.\n Experience with debt financing or revenue-based financing agreements.\n Product counseling experience on AI-specific legal issues — data processing, model training data and outputs, and emerging responsible-AI frameworks.\n Experience advising on open-source licensing, model licensing, or content/data licensing.\n Hands-on experience selecting, deploying, and operating modern legal t","salary_min":225000,"salary_max":275000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["cloud","payments","legal"],"apply_url":"https://job-boards.greenhouse.io/fal/jobs/4246631009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-12T19:01:26Z","expires_at":"2026-06-29T14:07:47.351587Z","created_at":"2026-05-14T14:08:53.417156Z","updated_at":"2026-05-30T14:07:47.468713Z","company_name":"Fal","company_slug":"fal","company_logo_url":"https://www.google.com/s2/favicons?domain=fal.ai\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/2fa9596d-0b38-43e8-9d58-44680a818155"},{"id":"85d6f704-541e-4c74-bafb-10cb17154a88","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Social Manager","slug":"social-manager-d3e2992a","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nWe’re hiring a Social Manager to define Harvey’s voice. You’ll own how we show up across platforms, turning what we’re building into clear, credible, and relevant narratives about AI, law, and professional work. This is a high-trust role. You’ll work closely with product, comms, and leadership to ensure what we say externally reflects what actually matters internally. Some work is planned; some is real-time. Both need to be sharp. This role calls for someone who can spot a cultural moment, move quickly, and communicate with precision and nuance across audiences that range from BigLaw partners to AI researchers to general business media.\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Own Harvey’s social strategy and execution (LinkedIn, X, and emerging channels)\n\n - Turn product updates, customer outcomes, and company thinking into high-signal content\n\n - Translate complex legal and AI concepts into content that lands with both technical and non-technical audiences\n\n - Monitor social sentiment and industry conversations to surface opportunities and flag potential issues in real time\n\n - Lead real-time and sensitive communications with good judgment\n\n - Build an audience of practitioners, decision-makers, and credible voices\n\n - Partner with design, content, and leadership to produce concise, effective posts\n\n\n\n\n\nWHAT YOU HAVE\n\n - 5+ years in social, ideally in high-stakes or high-growth tech or AI environments\n\n - Experience building a relevant, engaged audience\n\n - Strong writing and editorial judgment\n\n - Show sharp judgment under pressure and can move quickly without sacrificing quality\n\n - Have a genuine feel for internet culture, online communities, and what makes content travel\n\n - Experience handling launches, announcements, and sensitive moments\n\n - Clear understanding of how people consume information online\n\n - Comfort using analytics to inform decisions\n\n\n\n\nNICE TO HAVE\n\n - Experience in legal tech, enterprise SaaS, or similar spaces\n\n - Background in writing, journalism, or editorial\n\n - Familiarity with legal audiences and how they evaluate tools\n\n - Interest in AI and responsible communication\n\n\n\n\n\nCOMPENSATION\n\n$136,000-$204,000\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n#LI-AM1\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":136000,"salary_max":204000,"location":"San Francisco, CA","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["agents","legal"],"apply_url":"https://jobs.ashbyhq.com/harvey/9ecf8cf7-4583-4660-bb4d-5485917cd4b6/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-05T17:18:17.375Z","expires_at":"2026-06-29T14:02:10.299643Z","created_at":"2026-05-06T14:02:29.174135Z","updated_at":"2026-05-30T14:02:10.408124Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/85d6f704-541e-4c74-bafb-10cb17154a88"},{"id":"bddcd175-5bd2-4df1-b3d7-a148650f8353","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Innovation Product Manager","slug":"innovation-product-manager-6cb5d62b","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nThis role blends elements of product management, innovation strategy, solutions design, and forward-deployed partnership. You’ll work directly with leading law firms and corporate legal teams to translate messy, high-value legal work into AI-powered workflows — and ensure they succeed in production.\n\nWe don’t build software for lawyers; we build it with them. Our teams sit shoulder-to-shoulder with partners, associates, innovation groups, and CIOs to understand problems at depth, design first-of-kind workflows, and ship products that reshape how legal work gets done.\n\n\n\n\nWHAT YOU’LL DO\n\n - Serve as a thought partner to top global law firms and enterprises — diagnosing pain points, mapping high-value opportunities, and guiding how Harvey integrates into their practice.\n\n - Work with the go-to-market team to shape pilots and deployments end-to-end: discovery, workflow design, testing, onboarding, iteration, and firm-wide rollout.\n\n - Work with innovation leaders, legal operations, and practice groups alongside Customer Success — ensuring the platform becomes embedded in day-to-day legal work\n\n - Translate user insights into product direction to influence roadmap\n\n - Help clients evaluate the business impact of AI — from improving associate leverage to transforming workflows across practices like M\u0026A, litigation, regulatory, and transactions.\n\n - Shape how the legal industry adapts to AI. You’ll be in the room where the new operating model of law is being defined.\n\n\n\n\nWHAT YOU HAVE\n\nYou come from the legal world, but you’ve always gravitated toward innovation, experimentation, and systems thinking. You’ve seen how complex legal work happens in practice — and you’re excited to redesign it with cutting-edge AI.\n\nYou’ll thrive here if you:\n\n - Have experience at a top law firm or in-house legal team; innovation, legal ops, or consulting experience is a plus.\n\n - Familiarity with the legal tech ecosystem as an employee, founder, or advisor to legal tech startups\n\n - Are product-savvy and tech-curious. You’re not expected to code, but you can navigate conversations about generative AI, workflow design, privacy, governance, and enterprise rollout.\n\n - Communicate with clarity and confidence across roles — partners, associates, engineers, PMs, CIOs, and legal ops.\n\n - Can independently run multiple client engagements in parallel.\n\n - Care deeply about quality and user outcomes while keeping a strong bias for action.\n\n - Are energized by building something new in a domain going through its biggest shift in decades.\n\n\n\n\nCOMPENSATION\n\n$178,500 - $241,500 USD\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n#LI-CL1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":178500,"salary_max":241500,"location":"New York, NY","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["legal","agents","generative-ai"],"apply_url":"https://jobs.ashbyhq.com/harvey/e5272fbe-4431-4841-bf00-b9f59812b82a/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-12-11T16:20:46.621Z","expires_at":"2026-06-29T14:02:06.126129Z","created_at":"2026-04-13T09:37:53.460121Z","updated_at":"2026-05-30T14:02:06.235939Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/bddcd175-5bd2-4df1-b3d7-a148650f8353"},{"id":"c00bd2fc-2ea8-4ea1-97d1-da6ab9b235cd","company_id":"0a7c68cd-f294-457e-939a-62969b72e929","title":"Senior Legal Operations Manager","slug":"legal-operations-manager-314a4fc3","description":"ABOUT THE ROLE\n\nGamma doesn't have a legal operations function yet. You'll build it. As our first dedicated legal ops hire, you'll report to the Head of Legal and own the systems, processes, and tooling for a legal team that's scaling fast.\n\nGamma has over 70 million users, is profitable with $100M+ ARR, and is pushing hard into enterprise. That means a rapidly growing volume of commercial contracts, vendor agreements, privacy workflows, and compliance requests— all of which need infrastructure behind them. This is a ground-up build role. You'll assess what we need, select and implement the right tools, and create the workflows that let our lawyers focus on substantive legal work instead of administrative overhead.\n\nOur team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.\n\n\n\n\nWHAT YOU'LL DO\n\n - Evaluate, select, and implement a CLM platform, then design and own the legal intake and triage process, contract template library, clause bank, and self-serve resources that enable Sales and other teams to move faster with less legal touch\n\n - Own the legal tech stack end to end: selection, implementation, configuration, training, and ongoing optimization, including knowledge management systems for executed agreements, approved positions, and precedent language\n\n - Identify opportunities to automate repetitive legal workflows (NDAs, standard vendor agreements, routine approvals) and implement solutions\n\n - Implement and manage Gamma's privacy program under attorney supervision, including data subject requests, privacy documentation, vendor privacy assessments, DPA negotiations, and cross-functional compliance initiatives\n\n - Track deal flow, turnaround times, and bottlenecks, and build reporting and dashboards that give leadership visibility into legal workload, spend, and operational metrics\n\n - As the legal team grows, help define roles, onboarding processes, and operational standards for new hires\n\n\n\n\nWHAT YOU'LL BRING\n\n - 5+ years of legal operations experience, with at least 2 years in-house at a technology or SaaS company\n\n - Demonstrated experience building legal ops infrastructure from early stage: you've selected and implemented a CLM (Ironclad, DocuSign CLM, Juro, or similar), built intake workflows, and stood up reporting\n\n - Strong technical fluency with the ability to evaluate legal tech tools and configure workflows, and experience managing contract lifecycle processes across both customer and vendor agreements\n\n - Working familiarity with privacy compliance operations including DPA tracking, subprocessor management, and DSR workflows\n\n - Project management discipline: you can run multiple concurrent workstreams, hit deadlines, and hold cross-functional stakeholders accountable\n\n - A bias toward building systems over doing things manually\n\n - Experience at a company navigating the consumer-to-enterprise transition, familiarity with SOC 2 audit processes and security compliance coordination, or exposure to AI-related compliance workflows (Nice to have)\n\n\n\n\nCOMPENSATION RANGE:\n\nThe base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $150K - $210K plus benefits \u0026 equity.\n\n\n\nFinal offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.\n\n\n\nIf you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.","salary_min":150000,"salary_max":210000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["legal"],"apply_url":"https://jobs.ashbyhq.com/gamma/e6fc32b7-f85e-4a1f-a949-eb5a16645f60/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-11T18:58:19.622Z","expires_at":"2026-06-29T14:07:44.43863Z","created_at":"2026-04-16T11:12:29.08777Z","updated_at":"2026-05-30T14:07:44.559259Z","company_name":"Gamma","company_slug":"gamma","company_logo_url":"https://www.google.com/s2/favicons?domain=gamma.app\u0026sz=128","quality_score":80,"url":"https://aidevboard.com/job/c00bd2fc-2ea8-4ea1-97d1-da6ab9b235cd"},{"id":"cea83ec3-9b45-448f-ade4-0b8f7d67801e","company_id":"8847f544-79a7-4a7c-9978-de0d799540d1","title":"Staff Python Engineer","slug":"staff-python-engineer-a2541c0c","description":"ABOUT LAWHIVE\n\nOur mission is to make the law accessible to everyone.\n\nThe legal industry is built on technology and processes that haven’t been updated in hundreds of years - that's why we've reinvented the entire model from the ground up with our own bespoke AI operating system at the core.\n\nLawhive is a regulated law firm with an AI-native platform built to amplify expertise and revolutionise the way people practice law, leading to exceptional outcomes for clients and lawyers.\n\nLawhive Labs https://labs.lawhive.co.uk/ is how we bring this vision to life. It's our frontier lab that combines top engineering, design, AI and legal talent from around the world, joining forces to build the future of law.\n\nWe’re backed by top-tier investors, including Google Ventures, Balderton Capital and TQ Ventures, and in early 2026, we secured $60M Series B funding round to facilitate international expansion and to grow our team.\n\nWe’re headquartered in London and in 2025 successfully launched in the US…and we’re just getting started.\n\n\n\n\nENGINEERING AT LAWHIVE\n\nWe are a team of 40 engineers and researchers, responsible for architecting, building and running Lawhive’s platform, relied on by hundreds of legal professionals every day in the UK, US, and beyond.\n\nThere are lots of problems we have yet to solve, and plenty we’re not aware of yet! In the next 12 months, we’re focused on:\n\n - Pushing the envelope on the user experience of lawyers’ AI interactions. We’re not satisfied with “chat” as a default and are inventing a new paradigm for human/machine interaction\n\n - Building modularity and country independence into the heart of our platform. We’ve recently expanded to the US and are building the world’s first global consumer law firm\n\nFull stack AI-native legal services: we’re not only building software, we’re an AI-native law firm\n\n\n\n\nTHE ROLE\n\n\nWe’re looking for a Staff Python Engineer to join our AI Engineering \u0026 Infrastructure team to bring our latest AI-driven features and services into production. Deploying them at scale, improving infrastructure, and ensuring robustness in production. You’ll work closely with AI researchers, software engineers, and product teams to bridge the gap between cutting-edge AI research and real-world applications.\n\n\n\n\nRESPONSIBILITIES\n\n - Developing production-ready APIs and services that expose AI functionality to internal and external applications.\n\n - Improving reliability \u0026 monitoring for AI-driven applications in production.\n\n - Scaling AI systems to handle real-world legal use cases (e.g., legal document analysis, case predictions, automated legal advice).\n\n - Collaborating with AI engineers to ensure smooth deployment of AI workflows and models into production.\n\n - Working with event-driven architectures and async workflows to process large-scale AI workloads efficiently.\n\n - Ensuring security \u0026 compliance in AI-driven legal services.\n\n\n\n\nREQUIREMENTS\n\n - Strong Python experience in building scalable backend systems.\n\n - Familiarity with API design \u0026 distributed systems architecture.\n\n - Experience working with event-driven architectures (e.g. Kafka, Pub/Sub, AWS Step Functions, etc.).\n\n - Experience working with cloud platforms (AWS, GCP etc).\n\n - Understanding of best practices in observability, monitoring, and debugging.\n\n\n\n\nNICE TO HAVE\n\n - LLM Observability \u0026 Evaluation – familiarity with tools such as Langfuse for monitoring model generations, managing prompts, and measuring quality in production.\n\n - Comfortable optimising performance \u0026 scaling distributed AI workloads and ML Ops experience.\n\n - Full-stack Typescript experience.\n\n - Hands-on work with vector databases, hybrid retrieval methods, and evaluation of retrieval quality.\n\n - Agentic \u0026 Orchestrated Systems – exposure to multi-step reasoning, agent frameworks, or orchestration tools (e.g. LangChain, AutoGen, Inngest, Temporal) where LLMs call tools, plan tasks, or coordinate workflows.\n\n - Experience working in collaboration with researchers so that new models, pipelines, or research outputs can be integrated and evolved iteratively.\n\n - Prior Experience in Legal Tech - understanding of the legal industry and experience working with legal technology solutions.\n   \n   \n   \n\n\nINTERVIEW PROCESS\n\n - Introductory call with our Talent team\n\n - 1:1 with your hiring manager\n\n - Live technical assessment - systems design and pairing with two of our engineers\n\n - Values interview with our CTO/Co-founder\n\n - We offer!\n\n\n\nUK Benefits:\n\n💰 Meaningful early-stage equity at one of Europe’s fastest growing startups\n\n✈️ 33 days’ annual leave (25 + bank holidays) plus your birthday off\n\n🌍 Work from anywhere for a month\n\n💰 Pension contribution via Nest\n\n💻 Top-spec equipment - MacBook/Windows\n\n⛳️ Regular team building activities and socials!\n\n\n\nDiversity at Lawhive\n\nAt Lawhive, we know that diversity of thought is critical to delivering outlier outcomes. As such, we’re alw","location":"London, UK","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","llm","api-design","mlops","legal","embeddings","agents","cloud"],"apply_url":"https://jobs.ashbyhq.com/lawhive/8d685322-2a0d-4b05-afbf-47b58ff52389/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-30T09:12:13.329Z","expires_at":"2026-06-29T14:14:54.626041Z","created_at":"2026-05-30T14:14:54.738795Z","updated_at":"2026-05-30T14:14:54.738795Z","company_name":"Lawhive","company_slug":"lawhive","company_logo_url":"https://www.google.com/s2/favicons?domain=lawhive.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/cea83ec3-9b45-448f-ade4-0b8f7d67801e"},{"id":"0b7de347-d054-4f18-9376-2996aae27380","company_id":"8847f544-79a7-4a7c-9978-de0d799540d1","title":"Senior Python Engineer","slug":"senior-python-engineer-ml-d9ebd1f3","description":"ABOUT LAWHIVE\n\nOur mission is to make the law accessible to everyone.\n\nThe legal industry is built on technology and processes that haven’t been updated in hundreds of years - that's why we've reinvented the entire model from the ground up with our own bespoke AI operating system at the core.\n\nLawhive is a regulated law firm with an AI-native platform built to amplify expertise and revolutionise the way people practice law, leading to exceptional outcomes for clients and lawyers.\n\nLawhive Labs https://labs.lawhive.co.uk/ is how we bring this vision to life. It's our frontier lab that combines top engineering, design, AI and legal talent from around the world, joining forces to build the future of law.\n\nWe’re backed by top-tier investors, including Google Ventures, Balderton Capital and TQ Ventures, and in early 2026, we secured $60M Series B funding round to facilitate international expansion and to grow our team.\n\nWe’re headquartered in London and in 2025 successfully launched in the US…and we’re just getting started.\n\n\n\n\nENGINEERING AT LAWHIVE\n\nWe are a team of 40 engineers and researchers, responsible for architecting, building and running Lawhive’s platform, relied on by hundreds of legal professionals every day in the UK, US, and beyond.\n\nThere are lots of problems we have yet to solve, and plenty we’re not aware of yet! In the next 12 months, we’re focused on:\n\n - Pushing the envelope on the user experience of lawyers’ AI interactions. We’re not satisfied with “chat” as a default and are inventing a new paradigm for human/machine interaction\n\n - Building modularity and country independence into the heart of our platform. We’ve recently expanded to the US and are building the world’s first global consumer law firm\n\nFull stack AI-native legal services: we’re not only building software, we’re an AI-native law firm\n\n\n\n\nTHE ROLE\n\n\nWe’re looking for a Senior Python Engineer to join our AI Engineering \u0026 Infrastructure team to bring our latest AI-driven features and services into production. Deploying them at scale, improving infrastructure, and ensuring robustness in production. You’ll work closely with AI researchers, software engineers, and product teams to bridge the gap between cutting-edge AI research and real-world applications.\n\n\n\n\nRESPONSIBILITIES\n\n - Developing production-ready APIs and services that expose AI functionality to internal and external applications.\n\n - Improving reliability \u0026 monitoring for AI-driven applications in production.\n\n - Scaling AI systems to handle real-world legal use cases (e.g., legal document analysis, case predictions, automated legal advice).\n\n - Collaborating with AI engineers to ensure smooth deployment of AI workflows and models into production.\n\n - Working with event-driven architectures and async workflows to process large-scale AI workloads efficiently.\n\n - Ensuring security \u0026 compliance in AI-driven legal services.\n\n\n\n\nREQUIREMENTS\n\n - Strong Python experience in building scalable backend systems.\n\n - Familiarity with API design \u0026 distributed systems architecture.\n\n - Experience working with event-driven architectures (e.g. Kafka, Pub/Sub, AWS Step Functions, etc.).\n\n - Experience working with cloud platforms (AWS, GCP etc).\n\n - Understanding of best practices in observability, monitoring, and debugging.\n\n\n\n\nNICE TO HAVE\n\n - LLM Observability \u0026 Evaluation – familiarity with tools such as Langfuse for monitoring model generations, managing prompts, and measuring quality in production.\n\n - Comfortable optimising performance \u0026 scaling distributed AI workloads and ML Ops experience.\n\n - Full-stack Typescript experience.\n\n - Hands-on work with vector databases, hybrid retrieval methods, and evaluation of retrieval quality.\n\n - Agentic \u0026 Orchestrated Systems – exposure to multi-step reasoning, agent frameworks, or orchestration tools (e.g. LangChain, AutoGen, Inngest, Temporal) where LLMs call tools, plan tasks, or coordinate workflows.\n\n - Experience working in collaboration with researchers so that new models, pipelines, or research outputs can be integrated and evolved iteratively.\n\n - Prior Experience in Legal Tech - understanding of the legal industry and experience working with legal technology solutions.\n   \n   \n   \n\n\nINTERVIEW PROCESS\n\n - Introductory call with our Talent team\n\n - 1:1 with your hiring manager\n\n - Live technical assessment - systems design and pairing with two of our engineers\n\n - Values interview with our CTO/Co-founder\n\n - We offer!\n\n\n\nUK Benefits:\n\n💰 Meaningful early-stage equity at one of Europe’s fastest growing startups\n\n✈️ 33 days’ annual leave (25 + bank holidays) plus your birthday off\n\n🌍 Work from anywhere for a month\n\n💰 Pension contribution via Nest\n\n💻 Top-spec equipment - MacBook/Windows\n\n⛳️ Regular team building activities and socials!\n\n\n\nDiversity at Lawhive\n\nAt Lawhive, we know that diversity of thought is critical to delivering outlier outcomes. As such, we’re al","location":"London, UK","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["embeddings","llm","mlops","api-design","cloud","distributed-systems","agents","legal"],"apply_url":"https://jobs.ashbyhq.com/lawhive/3f8c9f4d-4bcf-4fb5-a57b-f73df38a4981/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-30T09:11:06.941Z","expires_at":"2026-06-29T14:14:52.625193Z","created_at":"2026-04-16T18:54:06.761341Z","updated_at":"2026-05-30T14:14:52.742233Z","company_name":"Lawhive","company_slug":"lawhive","company_logo_url":"https://www.google.com/s2/favicons?domain=lawhive.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/0b7de347-d054-4f18-9376-2996aae27380"},{"id":"8a688547-df10-42ff-9455-e8f6f2a8261d","company_id":"8847f544-79a7-4a7c-9978-de0d799540d1","title":"Platform Engineer","slug":"platform-engineer-9a7d3a6e","description":"🎉 We've just raised $60m in Series B funding - read about it here https://fortune.com/2026/02/05/lawhive-ai-law-firm-startup-series-b-venture-funding/! 🎉\n\n\n\nSalary: £80,000 - £130,000 + share options\n\nLocation: London/Hybrid - 3 days per week on-site\n\n\n\n\nABOUT LAWHIVE\n\nOur mission is to make the law accessible to everyone.\n\nThe legal industry is built on technology and processes that haven’t been updated in hundreds of years - that's why we've reinvented the entire model from the ground up with our own bespoke AI operating system at the core.\n\nLawhive is a regulated law firm with an AI-native platform built to amplify expertise and revolutionise the way people practice law, leading to exceptional outcomes for clients and lawyers.\n\nLawhive Labs https://labs.lawhive.co.uk/ is how we bring this vision to life. It's our frontier lab that combines top engineering, design, AI and legal talent from around the world, joining forces to build the future of law.\n\nWe’re backed by top-tier investors, including Google Ventures, Balderton Capital and TQ Ventures, and in December 2025, we secured $60M Series B funding round to facilitate international expansion and to grow our team.\n\nWe’re headquartered in London and in 2025 successfully launched in the US…and we’re just getting started.\n\n\n\n\nTHE ROLE\n\nWe’re hiring a Platform Engineer to build and maintain the infrastructure that underpins all of Lawhive’s products. You’ll own our cloud environments, deployment pipelines, security foundations and observability, working closely with product engineers to ensure they can ship quickly and reliably. This role is hands-on and focused on creating a resilient, scalable platform as we continue to grow and evolve our systems.\n\n \n\n\nWHAT THE JOB INVOLVES\n\n - Deployment patterns and practices - Building and maintaining our CI/CD pipelines (GHA, AWS, ECS, K8s)\n\n - Infrastructure and system architecture - Building and maintaining on our platform infrastructure, and contributing to system design as we scale\n\n - Security and compliance - Executing on security and compliance roadmaps and hardening our software, systems and data security. Ensuring we have access controls, audit and compliance processes in place.\n\n - Observability and Reliability - Owning monitoring and alerting systems to ensure we can inspect our services and respond to incidents\n\n - Developer Experience and Cross team collaboration - Working with product engineering teams to improve our developer experience\n   \n    \n\n\nOUR ENGINEERING CULTURE\n\n - Ship daily - We’re building and releasing features fast, going from idea to production in hours rather than weeks.\n\n - Empathise with users - Lawyers and legal clients have unique perspectives, preferences and expectations. We build products which understand them deeply.\n\n - Strive for excellence - We’re ambitious and moving fast. The whole business is pushing to be a category defining legal tech company.\n\n - Constantly learning and experimenting - We’re at the cutting edge of using AI to directly improve people’s lives. We take a blue-sky but pragmatic approach to how we apply new technologies.\n\n \n\n\nOUR TECH STACK AND DAY TO DAY TOOLS ARE:\n\n - TypeScript for the majority of our applications, frontends, and microservices\n\n - Python for data ingestion and our AI services\n\n - AWS for our cloud infrastructure\n\n - Postgres for our data storage\n\n - Terraform for defining infrastructure as code\n\n \n\n\nWHAT YOU'LL BRING\n\n - Deep experience in DevOps, infrastructure and security at pace - You have worked in fast moving start/scale-ups that ship hourly.\n\n - Strong release, deployment and cloud experience - You have worked extensively with CI/CD systems and modern cloud deployment patterns, Github Actions, Docker, Terraform, AWS.\n\n - Passion about developer experience and productivity - Working with product engineers to create simple solutions to move fast regardless of the tech stack.\n\n - Knows modern product engineering patterns and practices - Have experience working in product-centric companies and familiarity with the Typescript ecosystem, product testing practices, and solid system design fundamentals.\n\n - Strong security mindset, experience in environments handling sensitive data and systems with strong access controls.\n\n \n\n\nINTERVIEW PROCESS\n\n - Introductory call with our Talent team\n\n - 1:1 with your hiring manager\n\n - Technical interview\n\n - Values interview with our CTO/Co-founder\n\n - We offer!\n\n \n\n\nBENEFITS\n\n - 💰 Meaningful early-stage equity at one of Europe’s fastest growing startups\n\n - ✈️ 33 days’ annual leave (25 + bank holidays) plus your birthday off\n\n - 💰 Pension contribution via Nest\n\n - 💷 20% off legal fees through Lawhive\n\n - 💻 Top-spec Macbook\n\n - ⛳️ Regular team building activities and socials!\n\n\n\n\nDIVERSITY AT LAWHIVE\n\nAt Lawhive we know that diversity of thought is critical to delivering outlier outcomes. As such, we’re always working hard to ensure we bu","location":"London, UK","workplace":"hybrid","job_type":"full-time","experience_level":"mid","tags":["cloud","legal","microservices","platform"],"apply_url":"https://jobs.ashbyhq.com/lawhive/d8901356-09d0-414b-8729-de2215b26824/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-30T08:59:21.761Z","expires_at":"2026-06-29T14:14:54.476028Z","created_at":"2026-05-30T14:14:54.586216Z","updated_at":"2026-05-30T14:14:54.586216Z","company_name":"Lawhive","company_slug":"lawhive","company_logo_url":"https://www.google.com/s2/favicons?domain=lawhive.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/8a688547-df10-42ff-9455-e8f6f2a8261d"},{"id":"7b8170f8-fa6c-48ac-92c0-84689d5889d6","company_id":"8847f544-79a7-4a7c-9978-de0d799540d1","title":"Head of Data","slug":"head-of-data-210de5c4","description":"ABOUT LAWHIVE\n\nOur mission is to make the law accessible to everyone.\n\nThe legal industry is built on technology and processes that haven’t been updated in hundreds of years - that's why we've reinvented the entire model from the ground up with our own bespoke AI operating system at the core.\n\nLawhive is a regulated law firm with an AI-native platform built to amplify expertise and revolutionise the way people practice law, leading to exceptional outcomes for clients and lawyers.\n\nLawhive Labs https://labs.lawhive.co.uk/ is how we bring this vision to life. It's our frontier lab that combines top engineering, design, AI and legal talent from around the world, joining forces to build the future of law.\n\nWe’re backed by top-tier investors, including Google Ventures, Balderton Capital and TQ Ventures, and in December 2025, we secured $60M Series B funding round to facilitate international expansion and to grow our team.\n\nWe’re headquartered in London and in 2025 successfully launched in the US…and we’re just getting started.\n\n\n\n\nDATA AT LAWHIVE\n\nWe are building the world's first AI-native consumer law firm, and the data foundations underneath it have to match that ambition. Over the next 12 months, the data function will:\n\n - Transform our internal data stack so that anyone in the business can explore, dig into, and act on data without filing a ticket, using the latest AI tooling\n\n - Build the data integration playbook for acquired firms as we expand our firm portfolio. Each firm runs different systems and we need a canonical Lawhive data model that scales\n\n - Drive self-serve adoption so business teams move faster and the data team is no longer the bottleneck for routine questions\n\nThe data team today is four people: a Senior Data Engineer, an Analytics Engineer, and two Data Analysts. The Head of Data will lead this team, report directly to the CTO, and work closely with Strategy, Finance, and business functions.\n\nOur current stack: BigQuery, dbt, Hex, Dagster, K8s, Claude Code, GCP and AWS infrastructure. We expect the Head of Data to be hands-on technical as well as strategic, and have strong opinions on what stays, what goes, and what comes next.\n\n\n\nTHE ROLE\n\nAs Head of Data, you'll lead Lawhive's data function through a step-change in capability. Reporting directly to our CTO, Jaime https://www.linkedin.com/in/jaime-van-oers/, you'll own the data stack, build the data integration capability for acquired firms, and run a small high-quality team that partners with every function in the business.\n\nThis role is for someone who has done it before. You've migrated a scaleup's data stack end-to-end. You've integrated acquired-company data into a canonical model. You're AI-native in how you work and in what you build. And you're comfortable telling a CTO \"this stack is wrong, and here's what we do instead.\"\n\n\n\n\nWHAT YOU'LL DO\n\nDiagnose and improve our data stack in your first 12 months. Propose a target architecture against our goals of AI-native self-serve-first analytics (warehouse, modelling, semantic layer, BI, exploration). Replace tools where needed\n\n - Design and own the acquisition data integration playbook. Build a canonical Lawhive data model that future systems map to. Make firm onboarding a repeatable weeks-not-months process\n\n - Make Lawhive self-serve on data. Build the platform, modelling, and semantic layer that lets business users explore, drill in, and answer their own questions\n\n - Define and enforce data quality SLAs. Freshness, accuracy, ownership coverage, end-to-end lineage\n\n - Lead and grow the data team. Coach analysts into stronger cross-functional partners. Hire and onboard a data integration engineer in year 1\n\n - Partner with Strategy on metric definition. You own instrumentation, semantic layer, and accuracy. They own the metric tree. Together you run the metric council\n\n - Drive AI-native practices inside the data function. Use LLMs for entity resolution, schema mapping, data quality, and exploration. Set the bar for how a data team works in 2026\n\n - Be a key cross-functional partner to Product, Engineering, Finance, Strategy, and the operational teams within acquired firms\n\n\n\n\nWHAT YOU'LL BRING\n\nYou'll be a great fit for this role if:\n\n - You've owned a data stack end-to-end at a B2B SaaS scaleup. You can walk us through what you built, changed, why, and what you'd do differently\n\n - You've built repeatable data integration patterns at an M\u0026A-heavy company or rollup. Ideally a B2B SaaS context. You know how to handle messy legacy systems and conflicting schemas\n\n - You have strong opinions on the modern data stack and data modelling best practices: warehouse, modelling, semantic layer, BI tooling, exploration. You can defend trade-offs\n\n - You're AI-native in your craft. You use Cursor, Claude, dbt AI, agentic notebooks daily. You've shipped AI features inside a data team (LLMs for entity resolution, schema mapping, data quality, exploration). You think LLMs change how d","location":"London, UK","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["llm","agents","fine-tuning","legal","cloud","data-engineering"],"apply_url":"https://jobs.ashbyhq.com/lawhive/fe2ee8f4-ddc6-4815-a0a8-ba9f208faafd/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-30T08:39:10.334Z","expires_at":"2026-06-29T14:14:54.23408Z","created_at":"2026-05-30T14:14:54.356311Z","updated_at":"2026-05-30T14:14:54.356311Z","company_name":"Lawhive","company_slug":"lawhive","company_logo_url":"https://www.google.com/s2/favicons?domain=lawhive.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/7b8170f8-fa6c-48ac-92c0-84689d5889d6"},{"id":"2b3bd668-bd27-491f-889e-c097d6d7e4d4","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Group Product Manager, Knowledge Platform","slug":"group-product-manager-knowledge-platform-a921c6a7","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nHarvey is building AI that transforms how the world's most sophisticated professionals work. We are looking for a Group Product Manager based in Bengaluru to drive the strategy, development, and delivery of Harvey's Knowledge Platform — the systems that connect Harvey to the legal world's content and tools. This means owning how we build and scale our ecosystem of third-party connectors and data partner integrations that bring rich legal context into Harvey, strengthening core user engagement. This is Harvey's first PM hire in India and a foundational role: you will own a critical product area end-to-end, work closely with our India Engineering team and cross-functional partners across time zones, and shape how Harvey builds and ships products. You will collaborate daily with Engineering, Design, Business Development, Legal Engineering, and GTM teams.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Develop the product roadmap for Harvey's integrations and Knowledge Platform, defining vision, strategy, and priorities across document management systems, the legal tech connector ecosystem, and private legal data.\n\n - Partner closely with Harvey's India Engineering team to scope, design, and ship high-quality integrations and platform experiences at a rapid pace\n\n - Drive the strategy for expanding Harvey's connector ecosystem: integration aggregators and self-serve pathways that allow customers and partners to connect their own tools to Harvey at scale.\n\n - Work closely with business development to engage with partners and manage complex joint developments\n\n - Deeply understand the workflows of lawyers at leading law firms and in-house legal teams, translating that understanding into product decisions, especially around how enterprise knowledge (DMS files, matter data, firm content) flows into and shapes AI-powered workflows.\n\n - Act as a bridge between India and HQ (San Francisco / New York), ensuring tight communication loops and strategic alignment across sites.\n\n - Contribute to shaping Harvey's India product culture — setting the bar for how PMs operate in the region.\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 15+ years of product management experience, with at least 2 years at a Staff or Senior PM level at a high-growth technology company.\n\n - Demonstrated ability to own and drive a product area end-to-end, from strategy through execution and iteration.\n\n - Strong technical fluency — you can have deep, substantive conversations with engineers about system design, data pipelines, API architecture, and infrastructure trade-offs, including topics like vector search, orchestration systems, and sync reliability.\n\n - Familiarity with enterprise SaaS go-to-market dynamics: customer commitments, partner integrations, access control and governance requirements, and the operational complexity of shipping to large law firms or regulated industries.\n\n - Track record of effective cross-functional collaboration across Engineering, Design, GTM, and Customer Success — including navigating dependency-heavy roadmaps and partner relationships.\n\n - Strong written and verbal communication skills with the ability to present to executives and external stakeholders with clarity and confidence.\n\n - Experience working in distributed or multi-site teams, with comfort operating across time zones.\n\n - Based in Bengaluru and eligible to work in India. Harvey does not currently offer visa sponsorship for this role.\n\nNice to Have\n\n - Experience in legal tech, professional services technology, or regulated industries.\n\n - Experience as a founding or early PM in a new-market or new-office setting.\n\n - Familiarity with LLMs, RAG architectures, or AI-native product design, and an intuition for how data quality and pip","location":"Bangalore, India","workplace":"remote","job_type":"full-time","experience_level":"principal","tags":["rag","legal","data-pipeline","agents","llm"],"apply_url":"https://jobs.ashbyhq.com/harvey/ae305f26-bbe0-4db1-a816-b912503ad6b4/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-18T21:16:18.559Z","expires_at":"2026-06-29T14:02:10.546863Z","created_at":"2026-05-19T14:02:19.953785Z","updated_at":"2026-05-30T14:02:10.657448Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/2b3bd668-bd27-491f-889e-c097d6d7e4d4"},{"id":"a3dbc6e1-c6d1-4615-b31e-ca68e8247dff","company_id":"8847f544-79a7-4a7c-9978-de0d799540d1","title":"Senior Applied AI Engineer","slug":"senior-applied-ai-engineer-c4b4e2e0","description":"ABOUT LAWHIVE\n\nOur mission is to make the law accessible to everyone.\n\nThe legal industry is built on technology and processes that haven’t been updated in hundreds of years - that's why we've reinvented the entire model from the ground up with our own bespoke AI operating system at the core.\n\nLawhive is a regulated law firm with an AI-native platform built to amplify expertise and revolutionise the way people practice law, leading to exceptional outcomes for clients and lawyers.\n\nLawhive Labs https://labs.lawhive.co.uk/ is how we bring this vision to life. It's our frontier lab that combines top engineering, design, AI and legal talent from around the world, joining forces to build the future of law.\n\nWe’re backed by top-tier investors, including Google Ventures, Balderton Capital and TQ Ventures, and in early 2026, we secured $60M Series B funding round to facilitate international expansion and to grow our team.\n\nWe’re headquartered in London and in 2025 successfully launched in the US…and we’re just getting started.\nThe Role\n\nWe’re looking for a Senior Applied AI Engineer to join our AI Engineering \u0026 Infrastructure team to bring our latest AI-driven features and services into production. Deploying them at scale, improving infrastructure, and ensuring robustness in production. You’ll work closely with AI researchers, software engineers, and product teams to bridge the gap between cutting-edge AI research and real-world applications.\n\n\nRESPONSIBILITIES\n\n - Developing production-ready APIs and services that expose AI functionality to internal and external applications.\n\n - Improving reliability \u0026 monitoring for AI-driven applications in production.\n\n - Scaling AI systems to handle real-world legal use cases (e.g., legal document analysis, case predictions, automated legal advice).\n\n - Collaborating with AI engineers to ensure smooth deployment of AI workflows and models into production.\n\n - Working with event-driven architectures and async workflows to process large-scale AI workloads efficiently.\n\n - Ensuring security \u0026 compliance in AI-driven legal services.\n\n\nREQUIREMENTS\n\n - Strong Python experience in building scalable backend systems.\n\n - Familiarity with API design \u0026 distributed systems architecture.\n\n - Experience working with event-driven architectures (e.g. Kafka, Pub/Sub, AWS Step Functions, etc.).\n\n - Experience working with cloud platforms (AWS, GCP etc).\n\n - Understanding of best practices in observability, monitoring, and debugging.\n\n\nNICE TO HAVE\n\n - LLM Observability \u0026 Evaluation – familiarity with tools such as Langfuse for monitoring model generations, managing prompts, and measuring quality in production.\n\n - Comfortable optimising performance \u0026 scaling distributed AI workloads and ML Ops experience.\n\n - Full-stack Typescript experience.\n\n - Hands-on work with vector databases, hybrid retrieval methods, and evaluation of retrieval quality.\n\n - Agentic \u0026 Orchestrated Systems – exposure to multi-step reasoning, agent frameworks, or orchestration tools (e.g. LangChain, AutoGen, Inngest, Temporal) where LLMs call tools, plan tasks, or coordinate workflows.\n\n - Experience working in collaboration with researchers so that new models, pipelines, or research outputs can be integrated and evolved iteratively.\n\n - Prior Experience in Legal Tech - understanding of the legal industry and experience working with legal technology solutions.\n\n\n\nUK Benefits:\n\n💰 Meaningful early-stage equity at one of Europe’s fastest growing startups\n\n✈️ 33 days’ annual leave (25 + bank holidays) plus your birthday off\n\n🌍 Work from anywhere for a month\n\n💰 Pension contribution via Nest\n\n💻 Top-spec equipment - MacBook/Windows\n\n⛳️ Regular team building activities and socials!\n\n\n\n\n\nDiversity at Lawhive\n\nAt Lawhive, we know that diversity of thought is critical to delivering outlier outcomes. As such, we’re always working hard to ensure we build a diverse, inclusive team, and as we scale, we’ll only ever increase the focus we apply to this.\n\n","location":"London, UK","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["llm","distributed-systems","embeddings","agents","api-design","mlops","cloud","legal"],"apply_url":"https://jobs.ashbyhq.com/lawhive/e2813e6f-88b6-43d7-b487-f2a7c7f3a909/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-29T15:11:52.376Z","expires_at":"2026-06-29T14:14:52.783088Z","created_at":"2026-04-16T18:54:07.017325Z","updated_at":"2026-05-30T14:14:52.895551Z","company_name":"Lawhive","company_slug":"lawhive","company_logo_url":"https://www.google.com/s2/favicons?domain=lawhive.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/a3dbc6e1-c6d1-4615-b31e-ca68e8247dff"},{"id":"211ed7e6-8073-40e4-bb7b-b077937c68fa","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Product Manager, Knowledge Platform","slug":"staff-product-manager-dbc651ca","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nHarvey is building AI that transforms how the world's most sophisticated professionals work. We are looking for a Staff Product Manager based in Bengaluru to drive the strategy, development, and delivery of Harvey's Knowledge Platform — the systems that connect Harvey to the legal world's content and tools. This means owning how we build and scale our ecosystem of third-party connectors and data partner integrations that bring rich legal context into Harvey, strengthening core user engagement. This is Harvey's first PM hire in India and a foundational role: you will own a critical product area end-to-end, work closely with our India Engineering team and cross-functional partners across time zones, and shape how Harvey builds and ships products. You will collaborate daily with Engineering, Design, Business Development, Legal Engineering, and GTM teams.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Develop the product roadmap for Harvey's integrations and Knowledge Platform, defining vision, strategy, and priorities across document management systems, the legal tech connector ecosystem, and private legal data.\n\n - Partner closely with Harvey's India Engineering team to scope, design, and ship high-quality integrations and platform experiences at a rapid pace\n\n - Drive the strategy for expanding Harvey's connector ecosystem: integration aggregators and self-serve pathways that allow customers and partners to connect their own tools to Harvey at scale.\n\n - Work closely with business development to engage with partners and manage complex joint developments\n\n - Deeply understand the workflows of lawyers at leading law firms and in-house legal teams, translating that understanding into product decisions, especially around how enterprise knowledge (DMS files, matter data, firm content) flows into and shapes AI-powered workflows.\n\n - Act as a bridge between India and HQ (San Francisco / New York), ensuring tight communication loops and strategic alignment across sites.\n\n - Contribute to shaping Harvey's India product culture — setting the bar for how PMs operate in the region.\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 8+ years of product management experience, with at least 2 years at a Staff or Senior PM level at a high-growth technology company.\n\n - Demonstrated ability to own and drive a product area end-to-end, from strategy through execution and iteration.\n\n - Strong technical fluency — you can have deep, substantive conversations with engineers about system design, data pipelines, API architecture, and infrastructure trade-offs, including topics like vector search, orchestration systems, and sync reliability.\n\n - Familiarity with enterprise SaaS go-to-market dynamics: customer commitments, partner integrations, access control and governance requirements, and the operational complexity of shipping to large law firms or regulated industries.\n\n - Track record of effective cross-functional collaboration across Engineering, Design, GTM, and Customer Success — including navigating dependency-heavy roadmaps and partner relationships.\n\n - Strong written and verbal communication skills with the ability to present to executives and external stakeholders with clarity and confidence.\n\n - Experience working in distributed or multi-site teams, with comfort operating across time zones.\n\n - Based in Bengaluru and eligible to work in India. Harvey does not currently offer visa sponsorship for this role.\n\nNice to Have\n\n - Experience in legal tech, professional services technology, or regulated industries.\n\n - Experience as a founding or early PM in a new-market or new-office setting.\n\n - Familiarity with LLMs, RAG architectures, or AI-native product design, and an intuition for how data quality and pipe","location":"Bangalore, India","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["rag","legal","llm","agents","data-pipeline"],"apply_url":"https://jobs.ashbyhq.com/harvey/7b468987-7236-4239-9e56-6eb7f92b4531/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-31T15:09:54.329Z","expires_at":"2026-06-29T14:02:08.852209Z","created_at":"2026-04-13T09:37:56.739156Z","updated_at":"2026-05-30T14:02:08.968502Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/211ed7e6-8073-40e4-bb7b-b077937c68fa"}],"page":1,"per_page":20,"total":33,"total_pages":2}